Pith Number
pith:SIWKNAI5
pith:2010:SIWKNAI5DWYNMVMHJTHQRZKZOE
not attested
not anchored
not stored
refs pending
An Algorithm to Extract Rules from Artificial Neural Networks for Medical Diagnosis Problems
arxiv:1009.4566 v1 · 2010-09-23 · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SIWKNAI5DWYNMVMHJTHQRZKZOE}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
· sign in to
claim
4
Citations
5
Replications
✓
Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-05-18T04:40:19.778116Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
922ca6811d1db0d655874ccf08e5597134e255adf2d88491ddda9d47f7e409fc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SIWKNAI5DWYNMVMHJTHQRZKZOE \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 922ca6811d1db0d655874ccf08e5597134e255adf2d88491ddda9d47f7e409fc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2f13b0df0ae5c9470741a4da8955c04196255b0b26eb534ae59112586240209e",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.NE",
"submitted_at": "2010-09-23T10:30:55Z",
"title_canon_sha256": "3b23a9b84b86e580159d953187221c35f5c92e6ac8d366d58a1190a9b7d44f09"
},
"schema_version": "1.0",
"source": {
"id": "1009.4566",
"kind": "arxiv",
"version": 1
}
}